Remote sensing of melting snow and ice

Tedesco, Marco; Mote, Thomas L.; Steffen, Konrad; Hall, Dorothy K.; Abdalati, W.

doi:10.1002/9781118368909.ch6

Cited by 7 publications

(2 citation statements)

References 71 publications

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“…A more comprehensive evaluation is beyond the scope of this paper and may be found elsewhere (e.g., Ashcraft and Long, 2006;Tedesco, 2007;Hall et al, 2009;Nghiem et al, 2012;Tedesco et al, 2015). For purposes of this study, the major differences are identified in order to characterize uncertainty when comparing against model fields.…”

Section: Evaluation Of Satellite Data Setsmentioning

confidence: 99%

A Characterization of Greenland Ice Sheet Surface Melt and Runoff in Contemporary Reanalyses and a Regional Climate Model

et al. 2016

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Section: Evaluation Of Satellite Data Setsmentioning

confidence: 99%

A Characterization of Greenland Ice Sheet Surface Melt and Runoff in Contemporary Reanalyses and a Regional Climate Model

et al. 2016

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“…Remote sensing techniques are becoming more advanced and more commonplace in conservation biology (Atzberger, 2013;Tedesco et al, 2014). Using Landsat imagery to verify ground transect data can increase the accuracy of studies that use modelling techniques (Bastin et al, 1993;Foody, 2002;Fisher et al, 2006), which is crucial when considering wildlife movement or connectivity of habitat (Soto et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

Remote sensing techniques for determining landcover features: applications for a species at risk

Fauvelle

Diepstraten²

2017

Ran

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Remote sensing techniques are becoming more advanced and commonplace in conservation biology, and are used to study spatial patterns of various taxa. The main objective of this study was to determine whether supervised classification of landcover types within Landsat imagery could be accurately used to find or locate islands on lakes that may have been overlooked during ground transects in central Saskatchewan. Additionally, we used telemetry data from collared female caribou to determine which islands were used and in which season(s), and to determine island characteristics that make caribou more likely to select them. We were able to successfully identify all islands within bodies of water relevant to collared caribou using a supervised classification method, which suggests that our methods were adequate. We also determined that none of the island characteristics significantly influenced caribou selection according to an occupancy model, however females tended to choose islands with a higher vegetation cover (NDVI) during the summer months and a proportionally lower snow cover during the winter months, likely as forage and predator avoidance strategies respectively. Finally, we suggest directions for future studies as well as implications for both wildlife managers and land-use planners in Saskatchewan, Canada.

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2021

Deep Learning for the Earth Sciences

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Remote sensing of melting snow and ice

Cited by 7 publications

References 71 publications

A Characterization of Greenland Ice Sheet Surface Melt and Runoff in Contemporary Reanalyses and a Regional Climate Model

A Characterization of Greenland Ice Sheet Surface Melt and Runoff in Contemporary Reanalyses and a Regional Climate Model

Remote sensing techniques for determining landcover features: applications for a species at risk

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